Marine Highway Traffic Monitoring System with Trajectory Prediction from AIS Data

Clients

Techstack

Purpose

Vessels that stray from designated routes create safety risks on busy marine highways. This system monitors maritime traffic from live AIS data, predicts vessel trajectories with a neural network, and flags ships that deviate from their suggested routes.

Description

The system decodes streaming AIS messages and plots vessel positions on an interactive Basemap chart inside a PyQt desktop application. A multilayer perceptron regressor from scikit-learn learns movement patterns to predict each vessel's trajectory, and the monitor raises an alert when a ship drifts outside its suggested route. Matplotlib renders the live map and predicted paths, giving operators a continuous picture of marine highway traffic.